CONTENT CREATION
On-demand restore with a low-confidence human review gate
Accepts a webhook request to restore a specific archive image, runs Replicate, and routes outputs by quality: clean results auto-publish to R2 while low-confidence ones create…
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook: restore image requestHTTP webhook
- ActionFetch source and run Replicate restore modelReplicate
- LogicBranch on restoration confidence score
- ActionHigh confidence: upload to public R2Cloudflare R2
- OutputLow confidence: stage in R2 and open Linear review issueLinear
What it does
Exposes a webhook so any internal tool can request restoration of one archive image. The output is scored, and the pipeline branches: high-quality restorations publish straight to R2, while questionable ones are held for a human to review in Linear before going live.
When to use it
Use it when restoration quality varies and you cannot blindly publish — for example fragile or heavily damaged originals where a bad upscale would embarrass the brand. The review gate keeps a human in the loop only when it matters.
How it works
- 1A webhook call with the image reference and metadata triggers the run.
- 2The source image is fetched and sent to the Replicate upscale-and-restore model.
- 3A confidence branch evaluates the model's restoration score against a threshold.
- 4High-confidence outputs upload to R2 and the caller gets the live URL.
- 5Low-confidence outputs upload to a staging R2 prefix and open a Linear issue with before/after links for an editor to approve or reject.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect ReplicateImage, video, and model inference.
- 3Connect Cloudflare R2Object storage, S3-compatible.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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